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The machine learning acceleration platform
OctoML Overview
Built on Apache TVM, OctoML takes the pain out of getting your models to production by automatically maximizing model performance on any hardware and across common ML frameworks like Pytorch, TensorFlow and ONNX serialized models. Our users have seen up to 30x improvement in performance without sacrificing accuracy.
  • MLOps Features:
  • Data Acquisition
  • Data Versioning
  • Data Visualization
  • Data Preparation
  • Data Pipelines
  • Data Labeling
  • AutoML
  • Featurization
  • Feature Store
  • ML Pipelines or Workflows
  • Model Registry
  • Model Marketplace
  • Model Training
  • Distributed Model Training
  • Model Debugging
  • Experiment Management
  • Deep Learning Support
  • Reinforcement Learning Support
  • Bias Detection and Mitigation
  • Model Explainability
  • Hyperparameter Optimization
  • Model Packaging
  • Model Deployment and Serving
  • Edge ML Support
  • Model Monitoring
  • Cost Management
  • ML Infrastructure Orchestration
  • Accelerator Support
  • Kubernetes Support

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Additional Product Information
Product Links
Deploys On
  • Amazon Web Services
  • Google Cloud Platform
  • Microsoft Azure
  • Other Public Cloud
  • Kubernetes
  • Private Cloud or Datacenter
  • SaaS
OctoML Vendor Information
Vendor Overview
OctoML is changing how developers optimize and deploy machine learning models for their AI needs.
Vendor Details
Year Founded
HQ Location
Seattle, Washington, United States
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